在41,755个外体中对相似区域进行系统分析,发现了临床相关的变异
Wouter Steyaert1,2, Lonneke Haer-Wigman1, Rolph Pfundt1
1Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands.
短序读取阻碍了重复的基因组区域的分析. 我们的Chameleolyser方法准确地检测到这些具有挑战性的领域的变异,从而从外体数据中进行新的诊断.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 人类遗传学 人类遗传学
背景情况:
- 短读测序数据在分析同源和重复的基因组区域时存在挑战.
- 标准分析方法往往无法识别这些复杂区域内的遗传变异,从而限制了诊断潜力.
研究的目的:
- 开发和验证一种新型的计算方法,Chameleolyser,用于准确地检测重复的基因组区域中的变异,使用全外因组测序数据.
- 为了确定以前无法检测到的单核酸变异/小插入/删除 (SNVs/Indels),复制数变异和基因转换事件在相似区域.
主要方法:
- 开发Chameleolyser算法,用于分析整个外因子测序数据.
- 在一个由41,755个外体样本组成的大队伍中应用Chameleolyser.
- 在样本子集中使用高准确度长读序列测序验证已识别的变异.
主要成果:
- 摄氏解析仪在重复的区域中发现了数百万个罕见的SNV/Indels和数千个罕见的同卵性缺失.
- 鉴定到的大量SNV/Indels被归因于基因转换事件,并且无法通过标准方法检测到.
- 验证证实>88%的准确性为所谓的变体.
- 通过关注已知疾病基因的变异,在25名以前未被诊断的患者中实现了直接的分子诊断.
结论:
- 摄氏素显著提高了在使用现有的整个外因组测序数据挑战重复的基因组区域检测遗传变异的能力.
- 该方法具有直接的临床实用性,可在患有遗传疾病的患者中进行分子诊断.
- 摄氏电流是重新分析现有外体数据集的宝贵工具,以发现新的遗传洞察力.
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